RNN-BiLSTM的全称

RNN-BiLSTM的全称是循环神经网络双向长短期记忆网络（Recurrent Neural Network Bidirectional Long Short-Term Memory）。它是一种特殊类型的循环神经网络（RNN），通过使用双向的长短期记忆网络（LSTM）来学习长期依赖信息。BiLSTM模型在捕捉文本信息时比单向的LSTM更全面，能够同时捕捉到正向和反向的信息，从而提高了模型的效果。BiLSTM网络在最终的输出层后面通常会增加一个线性层，用于将BiLSTM隐藏层的输出结果投射到具有某种表达标签特征意义的区间。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *3* [NLP在线医生-BiLSTM+CRF命名实体识别（二）](https://blog.csdn.net/sinat_28015305/article/details/109551176)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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